High Performance Computing for The Study of
Il y a 6 mois
**Type de contrat **:CDD**Contrat renouvelable **:Oui**Niveau de diplôme exigé **:Bac + 5 ou équivalent**Autre diplôme apprécié **:Thèse**Fonction **:Ingénieur scientifique contractuel**Niveau d'expérience souhaité **:Jeune diplôméA propos du centre ou de la direction fonctionnelle
The Inria Sophia Antipolis - Méditerranée center counts 37 research teams and 9 support departments. The center's staff (about 600 people including 400 Inria employees) is composed of scientists of different nationalities (250 foreigners of 50 nationalities), engineers, technicians and administrators. 1/3 of the staff are civil servants, the others are contractual. The majority of the research teams at the center are located in Sophia Antipolis and Nice in the Alpes-Maritimes. Six teams are based in Montpellier and a team is hosted by the computer science department of the University of Bologna in Italy. The Center is a member of the University and Institution Community (ComUE) "Université Côte d'Azur (UCA)".
Contexte et atouts du poste
- and frequency-domain Maxwell equations possibly coupled to differential equations modeling the behaviour of propagation media at optical frequencies. DIOGENeS is a unique numerical framework leveraging the capabilities of DG techniques for the simulation of multiscale problems relevant tonanophotonics and nanoplasmonics.
Mission confiée
The main objective in this assignment is to further enhance the** high performance computing** capabilities of the numerical tools developed in the DIOGENeS software suite.
Principales activités
Concretely, this will concern two components of DIOGENeS:
- On one hand, the **DG-type high order finite element solvers** for solving the differential models of nanophotonics. Here, the goal will be to develop GPU and multi-GPU-enabled versions of the compute intensive numerical kernels of these solvers;
- On the other hand, the **inverse design workflows **for mastering and enhancing the properties of nanophotonic structures and devices. Here, the goal will be to develop and implement parallelization strategies for a statistical learning-based global optimization method, which is coupled to the above-mentioned DG-type high order finite element solvers.
Compétences
- Required skills:
- Sound knowledge of numerical analysis and development of finite element type methods for computational physics;
- A concrete experience in numerical modeling for computational electromagnetics will be an asset;
- Strong programming skills and exposure to high performance computing models (MPI, OpenMP/OpenACC, CUDA);
- Knowledge and experience of Fortran 95/2000x and Python programming languages;
- Fluent spoken and written English.
Avantages
- Subsidised catering service
- Partially-reimbursed public transport
- Social security
- Paid leave
- Flexible working hours
- Sports facilities
Rémunération
From 2652 euros gross monthly (according to degree and experience)
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